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Understanding 9/11MIT 6.450 Principles of Digital Communications I (revised), Fall 2006
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- Publication date
- 2006
- Topics
- digital communication, data compression, Lempel-Ziv algorithm, scalar quantization, vector quantization, sampling, aliasing, Nyquist criterion, PAM modulation, QAM modulation, signal constellations, finite-energy waveform spaces, detection, communication system design
- Language
- English
*This version has overhead slides that have had been adjusted for better readability.
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.
Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring.
Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform spaces, detection, and modeling and system design for wireless communication.
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